krantirk / Credit-GANSLinks
Credit card Fraud Transactions using GANs and WGANs
☆11Updated 6 years ago
Alternatives and similar repositories for Credit-GANS
Users that are interested in Credit-GANS are comparing it to the libraries listed below
Sorting:
- An attempt to detect fraud in online transaction in deep neural network using pytorch☆13Updated 7 years ago
- TCN architecture for time series☆24Updated 7 years ago
- Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers☆16Updated 7 years ago
- Rcode for the TransLasso algorithm (transfer learning in high-dimensional linear models)☆15Updated 4 years ago
- Creating tabular GAN on credit card dataset☆20Updated 5 years ago
- ☆47Updated 7 years ago
- instance based Transfer learning, TrAdaboost, mutisource-trAdaBoost regresion☆15Updated 7 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Updated 7 years ago
- 智能风控 python金融风险管理与评分卡建模 数据和代码☆24Updated 3 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆33Updated 8 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆53Updated 8 years ago
- The Python implementation of Tradaboost classifier and regressor☆15Updated 7 years ago
- Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.☆23Updated 6 years ago
- kaggle: IEEE-CIS Fraud Detection☆30Updated 6 years ago
- 数据预处理之缺失值处理,特征选择☆22Updated 6 years ago
- Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…☆64Updated 5 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆40Updated 8 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆77Updated 8 months ago
- ☆37Updated 5 years ago
- This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…☆139Updated 6 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 7 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆30Updated 7 years ago
- ☆109Updated 2 years ago
- Probabilistic Forecasting with Temporal Convolutional Neural Network☆11Updated 5 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Updated 7 years ago
- Geoffrey-Z / Multivariate-Time-Series-Forecasting-with-LSTMs-in-Keras-for-CORN-SWEET-Terminal-Market-Price☆16Updated 4 years ago
- ☆26Updated 7 years ago
- Scikit-learn style implementation of TrAdaBoost algorithm☆36Updated 7 years ago
- Stacking classification and regression☆25Updated 6 years ago